Abstract:
:Genomic changes observed across treatment may result from either clonal evolution or geographically disparate sampling of heterogeneous tumors. Here we use computational modeling based on analysis of fifteen primary breast tumors and find that apparent clonal change between two tumor samples can frequently be explained by pre-treatment heterogeneity, such that at least two regions are necessary to detect treatment-induced clonal shifts. To assess for clonal replacement, we devise a summary statistic based on whole-exome sequencing of a pre-treatment biopsy and multi-region sampling of the post-treatment surgical specimen and apply this measure to five breast tumors treated with neoadjuvant HER2-targeted therapy. Two tumors underwent clonal replacement with treatment, and mathematical modeling indicates these two tumors had resistant subclones prior to treatment and rates of resistance-related genomic changes that were substantially larger than previous estimates. Our results provide a needed framework to incorporate primary tumor heterogeneity in investigating the evolution of resistance.
journal_name
Nat Communjournal_title
Nature communicationsauthors
Caswell-Jin JL,McNamara K,Reiter JG,Sun R,Hu Z,Ma Z,Ding J,Suarez CJ,Tilk S,Raghavendra A,Forte V,Chin SF,Bardwell H,Provenzano E,Caldas C,Lang J,West R,Tripathy D,Press MF,Curtis Cdoi
10.1038/s41467-019-08593-4subject
Has Abstractpub_date
2019-02-08 00:00:00pages
657issue
1issn
2041-1723pii
10.1038/s41467-019-08593-4journal_volume
10pub_type
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